Photovoltaic Power Generation Project Research Articles

Supporting strategy for investment evaluation of photovoltaic power generation engineering projects using multi-criteria decision analysis methods

This scientific study examines the evaluation of photovoltaic power generation projects through the application of multi-criteria decision analysis methods. Two groups of large-scale grid-connected PV power generation system projects with a nominal power of 50 MW and 500 MW respectively were analyzed and evaluated. These systems were designed to be installed in the same wider geographical area in northern Greece, but they were differentiated in the part of the PV circuit. Twelve systems were analyzed in which either monocrystalline silicon panels or poly-crystalline silicon panels or bifacial photovoltaic panels were to be installed. In these systems either central photovoltaic inverters or photovoltaic string inverters were considered for installation. The following criteria were used to evaluate the investment in these projects. These criteria were related to the profitability, the financial cost, the technical level, and the electrical energy production of the systems and these were the initial investment cost, the operation and maintenance cost, the levelized cost of electricity, the net present value, the internal rate of return, the capital recovery or payback period, the technical level of the photovoltaic circuit, the technical maturity of the photovoltaic circuit, and the annual electricity production. The evaluation of these criteria was initially conducted with fixed weighting coefficients followed by a sensitivity analysis of these weighting coefficients. The results of the evaluation using the PROMETHEE, AHP and TOPSIS multi-criteria decision analysis methods showed that the PV power generation systems which should be preferred are those with increased nominal power, where monocrystalline silicon technology panels are employed following the central inverter topology.

Financial Optimization Management and Equipment Procurement Risk Analysis of New Energy Photovoltaic Power Generation Project

As renewable energy gains momentum and energy structures evolve, photovoltaic power generation projects assume greater significance in the energy sector. This paper aims to explore financial optimization strategies and procurement risks in new energy PV projects, offering countermeasures. Firstly, an in-depth study of PV project finance reveals potential issues during operation. Cost control, income optimization, and capital management strategies are proposed to ensure economic viability and long-term profitability. Secondly, a systematic analysis of equipment procurement risks in PV projects considers factors like market volatility, technological advancements, and supply chain challenges. Comprehensive risk management measures are put forward to mitigate these risks. These measures cover supplier selection, contract management, technical monitoring and other aspects, aiming at minimizing the uncertainty in the procurement process and ensuring the equipment quality and reliability of the project. Finally, based on actual cases, this paper verifies the practicability and effectiveness of the proposed optimal management and risk analysis methods by comparing the effects of different financial management and equipment procurement strategies. Through these studies, this paper aims to provide useful reference for investors, managers and decision makers of new energy photovoltaic power generation projects, and promote them to make more scientific and reasonable financial management and equipment procurement decisions in the process of project implementation.

Research on Influencing Factors of Cost Control of Centralized Photovoltaic Power Generation Project Based on DEMATEL-ISM

The high cost of centralized photovoltaic power generation projects is an important problem affecting industrial development, which needs to be solved urgently. It is particularly important to explore the influencing factors of cost control and the interaction between them. This paper takes a centralized photovoltaic power generation project as the research object, and determines the index system of influencing factors of cost control from the perspective of the life cycle. Secondly, the logical relationship between influencing factors is judged by the method of combining DEMATEL (decision-making trial and evaluation laboratory) and ISM (interpretive structural modelling). Finally, the multi-order recursive interpretation structure model is obtained, and the action mechanism between various factors is obtained. The results show that national policies and standards are the most profound influencing factors, and their cause degree reaches 2.155; the reason degree of market changes is the second, which is 1.586; bidding and contract management are the factors with the highest centrality, which is 7.120; and transmission and the storage of electricity and equipment repair and maintenance are the most direct factors affecting cost control. Finally, some suggestions are put forward for different types of influencing factors. The research results can better help photovoltaic power generation enterprises solve the problem of cost control.

Ground Subsidence, Driving Factors, and Risk Assessment of the Photovoltaic Power Generation and Greenhouse Planting (PPG&GP) Projects in Coal-Mining Areas of Xintai City Observed from a Multi-Temporal InSAR Perspective

In recent years, photovoltaic power generation and greenhouse planting (PPG&GP) have become effective approaches for reconstructing and restoring the ecological environment of old coal-mining industry bases, such as Xintai City. However, the ecological impacts or improvements of the PPG&GP projects and their daily operations on the local environment are still unclear. To solve these problems, this study retrieved the ground deformation velocities and time series of the study region by performing the Small-Baseline Subset (SBAS)-Interferometric Synthetic Aperture Radar (InSAR) technique on the Advanced Land Observing Satellite (ALOS) PALSAR and Sentinel-1 SAR datasets. With these deformation results, the spatial analysis indicated that the area of the subsidence region within the PPG&GP projects reached 10.70 km2, with a magnitude of approximately −21.61 ± 12.10 mm/yr. Also, even though the ground deformations and their temporal changes were both visible in the construction and operation stages of the PPG&GP projects, the temporal analysis demonstrated that most observation points finally entered into the stationary phases in the late stage of the observation period. This phenomenon validated the effectiveness of the PPG&GP projects in enhancing the ground surface stability in coal-mining areas. Additionally, the precipitation, geological structure, increased coal-mining depths, and emergent agricultural modes were assumed to be the major impact factors controlling the ground deformation within the local PPG&GP projects. Finally, a novel risk assessment method with a designed index of IRA was utilized to classify the ground subsidence risks of the PPG&GP projects into three levels: Low (69.7%), Medium (16.9%), and High (9.4%). This study sheds a bright light on the ecological monitoring and risk management of the burgeoning industrial and agricultural infrastructures, such as the PPG&GP projects, constructed upon the traditional coal-mining areas in China from a multi-temporal InSAR perspective.

Comprehensive Benefit Evaluation of SZ Distributed Photovoltaic Power Generation Project Based on AHP-Matter-Element Extension Model

With the introduction of the “dual carbon goals,” there has been a robust development of distributed photovoltaicpower generation projects in the promotion of their construction. As part of this initiative, a comprehensive and systematicanalysis has been conducted to study the overall benefits of photovoltaic power generation projects. The evaluation processencompasses economic, technical, environmental, and social aspects, providing corresponding analysis methods and datareferences. Furthermore, targeted countermeasures and suggestions are proposed, signifying the research’s importance forthe construction and development of subsequent distributed photovoltaic power generation projects.

Research on Carbon Emission Accounting and Emission Reduction Route of Thermal Power Plants

The power industry is a major contributor to carbon dioxide (CO2) emission, which accounting for 40% of total domestic carbon emission. Based on the carbon emission accounting method, this paper conducts carbon emission accounting for a number of power generation enterprises, analyses and concludes that the carbon quota allocation is being tightened year by year, proposed countermeasures and emission reduction routes in terms of carbon asset management and carbon reduction technology research. According to the actual situation of a coal-fired power plant in Anhui province, different carbon reduction routes are developed, among which photovoltaic power generation project has the most impressive economic benefits, but carbon capture project has the largest carbon reduction benefits. Under the premise of similar initial investment between the two projects, the carbon reduction brought by the latter is 5 times that of the former. It is suggested to choose the “new energy power generation+carbon capture and utilization” coupling technical route, which can improve the flexible operation of thermal power units and the absorption rate of new energy, and achieve efficient decarbonization. It provides a sustainable development technical route with both economic and environmental benefits for the low-carbon process.

Risk assessment on floating water photovoltaic power generation projects in China using the HFLTS-cloud model method

Risk assessment on floating water photovoltaic power generation projects in China using the HFLTS-cloud model method

Risk assessment on floating water photovoltaic power generation projects in China using the HFLTS-cloud model method

Risk assessment on floating water photovoltaic power generation projects in China using the HFLTS-cloud model method

Study on the Integration Path of “Photovoltaic + Rural Revitalization” under the Perspective of “Dual Carbon”

Abstract This study combines photovoltaic (PV) technology with rural revitalization, constructs a new long-term mechanism by using a BOT model, and applies fuzzy number processing to the model of the real option method to dig out the potential value of the project. Based on the field research of X county, the article comprehensively analyzes the PV power generation project in terms of economic and social benefits and its impact on poverty alleviation. The results show that the total benefit of X county can reach 3720.34 million yuan in 30 years, and the average annual benefit is about 124.011 million yuan. The full power generation capacity of the project is 4,987 MWh, and the total income from electricity sales reaches 471,985,000 yuan. The PV power project has contributed significantly to environmental protection, with reductions in carbon dust, carbon dioxide, sulfur dioxide, and nitrogen oxides of 12.12 billion tons, 44.61 billion tons, 13.77 billion tons, and 750 million tons, respectively. The study also found that villages with larger administrative territory and suitable topographic conditions are more ideal for establishing large-scale PV ground power plants to help alleviate poverty. Meanwhile, villages with good grid quality are more efficient in reducing poverty when implementing PV poverty alleviation programs. This study provides an innovative perspective for village revitalization strategies and demonstrates the great potential of PV technology in promoting village economic development and environmental protection.

Promotion and application of Convenient Photovoltaic Charging Car Sheds and Charging Piles


 The purpose of this study is to explore China's national strategy to cope with global climate change, with a special focus on solar photovoltaic power generation projects in renewable energy, as well as convenient photovoltaic carports and charging pile projects under the requirements of energy development in Shandong Province. The author analyzes the photovoltaic project of Shandong Energy Building through research, including project situation, environmental resources, project construction and other aspects. The use of the idle carport roof of Shandong Energy Building to build distributed photovoltaics, the use of "self-generation, surplus electricity grid" mode to provide power supply services for enterprises, and for employees to provide charging services for new energy vehicles. Under the climatic conditions of Jinan, the photovoltaic power generation project has good feasibility.

Overall Design and Power Generation Calculation of Photovoltaic System in Shanyin meteorological station

Based on the data of Shanyin meteorological station and Solargis database, this paper evaluates the local solar energy resources, and carries out the overall scheme design and power generation estimation of the feasibility study stage of the 50MW photovoltaic power generation project in Shanyin county. After analysis, it is proposed to select crystalline silicon solar modules for the project. The specification of polycrystalline silicon solar modules is 305wp, and the specification of monocrystalline silicon solar modules is 315wp. It is recommended to adopt fixed installation for the photovoltaic module array. In addition, the component support of the project is fixed with an installation angle of 35°. 500mx inverter is selected for the project because of its high cost performance ratio. Based on the above work, the total power generation in 25 years is calculated.

Optimal Integration of Photovoltaic Systems in Distribution Networks from a Technical, Financial, and Environmental Perspective

Due to the increasing demand for electricity around the world, different technologies have been developed to ensure the sustainability of each and every process involved in its production, transmission, and consumption. In addition to ensuring energy sustainability, these technologies seek to improve some of the characteristics of power systems and, in doing so, make them efficient from a financial, technical, and environmental perspective. In particular, solar photovoltaic (PV) technology is one of the power generation technologies that has had the most influence and development in recent years due to its easy implementation and low maintenance costs. Additionally, since PV systems can be located close to the load, power losses during distribution and transmission can be significantly reduced. However, in order to maximize the financial, technical, and environmental variables involved in the operation of an electrical system, a PV power generation project must guarantee the proper location and sizing of the generation sources. In the specialized literature, different studies have employed mathematical methods to determine the optimal location and size of generation sources. These methods model the operation of electrical systems and provide potential analysis scenarios following the deployment of solar PV units. The majority of such studies, however, do not assess the quality and repeatability of the solutions in short processing times. In light of this, the purpose of this study is to review the literature and contributions made in the field.

Energy Loss Analysis of Distributed Rooftop Photovoltaics in Industrial Parks

The analysis of the loss of distributed photovoltaic power generation systems involves the interests of energy users, energy-saving service companies, and power grid companies, so it has always been the focus of the industry and society in some manner or another. However, the related analysis for an actual case that considers different cooperative corporations’ benefits is lacking in the presently available literature. This paper takes the distributed rooftop photovoltaic power generation project in an industrial park as the object, studies the analysis and calculation methods of line loss and transformer loss, analyzes the change of transformer loss under different temperatures and different load rates, and compares the data and trend of electricity consumption and power generation in industrial parks before and after the photovoltaic operation. This paper explores and practices the analysis method of the operating loss of distributed photovoltaic power generation and provides an essential reference for the benefit analysis and investment cost estimation of distributed photovoltaic power generation systems in industrial parks. The analyzed results reveal that the change loss is stable after the photovoltaic is connected, and there is no additional transformer loss. And before and after the photovoltaic system installation, there was no significant change in the total monthly data difference between the total meter and the sub-meter.

Research on Income evaluation of photovoltaic agricultural investment model based on fuzzy real option

With the proposal of emission peak and carbon neutrality, in view of the actual development of China's energy economy , photovoltaic agriculture becomes an important means to promote the economic development of poor and remote areas. Aiming at the investment modes of photovoltaic agriculture projects such as agricultural land leasing and farmers' participation in investment, this paper constructs a fuzzy real option investment model, and uses Monte Carlo simulation method to evaluate and analyze the income of both photovoltaic power generation project modes. The research shows that compared with the traditional real option income evaluation, the fuzzy real option model is more suitable for the investment evaluation of photovoltaic power generation project modes, and the project with farmers’ participation has higher returns. The income evaluation results show that the best time to benefit from the photovoltaic power generation project is in the next seven years or so, which provides reference for policy guidance and investment decision-making, and helps to promote the development of photovoltaic agriculture projects.

Collaborative efforts on energy transition in urban China: Institutional enabling and constraining conditions

Concern about carbon has led to China's energy transition and dedication to large-scale renewable energy projects. Handling energy transition problems and implementing energy policies require integrated and collaborative strategies involving an array of stakeholders. Pursuing a successful collaboration among stakeholders is indeed complicated, particularly within China's strong top-down, regulatory policy framework. This article seeks to understand how current institutional rules and routines affect local energy practices, and identifies key institutional barriers and opportunities for collaborative governance in local energy practices. This article opts for an expansion of the IAD framework. In doing so, it targets the informal patterns of interaction to conduct our institutional analysis through a case study of a decentralised photovoltaic (PV) power generation project in Guangzhou, southern China. A total of 16 semi-structured interviews together with an in-depth analysis of policy documents were conducted. This article identifies several key problems in Guangzhou related to the structure of Chinese energy governance that are also likely to occur in other Chinese cities. Notably this study discovered important power imbalances between stakeholders, and found that the grid operators hold the monopoly position in the development of the decentralised PV projects. The issue of power imbalances has triggered a chain of problems within the decentralised PV project, including financial difficulties, information opacity, and ineffective supervision. As such, these problems are major barriers to situation-specific policies that build on integrated strategies and collaborative approaches.

Investment Risk Management of Solar Photovoltaic Power Generation Project Based on Wireless Sensor Network

Investment Risk Management of Solar Photovoltaic Power Generation Project Based on Wireless Sensor Network

Decision making on investments in photovoltaic power generation projects based on renewable portfolio standard: Perspective of real option

It is now a main global trend to replace the renewable energy feed-in tariffs (FIT) policy with the renewable portfolio system (RPS) policy in the reform of renewable energy policy systems. To solve the practical problem that the current main studies on the decision making about investments by renewable energy enterprises mainly focus on macroeconomic aspects such as government subsidies, renewable energy FIT and carbon taxes, rather than microeconomic aspects such as RPS and the TGC market's influence, a real option model about photovoltaic power generation projects is established to study these projects' sequential decision making about optimal investment opportunity, optimal installed capacity and phased investment. The result shows that phased investment fruit in much higher investment flexibility, longer economic lives and greater project values, and fewer risks for investors as well; lower technical costs and higher TGC prices help acquire the optimal investment opportunities. The conclusions of this study help make better decision making about investments in photovoltaic power generation projects and, from the microcosmic aspect, prove influence of the RPS policy.

Spatio-temporal coupling suitability of solar energy resources and distributed photovoltaic power generation projects in Beijing

Distributed photovoltaic power generation projects contribute to the coordinated and sustainable development of “energy—economy—environment”. The spatio-temporal coupling relationship between regional solar resources and distributed photovoltaic power generation projects is studied. Taking Beijing area as the research object, a variety of spatial analysis methods are proposed to explore the relationship between solar resources and distributed photovoltaic power generation projects from a new perspective of spatial geography. The spatio-temporal coupling suitability of regional solar energy resources and distributed photovoltaic power generation project development area was scientifically evaluated. The research results can provide suggestions and decision support for optimizing the timing of regional development of photovoltaic power generation, and also provide reference for planning and layout optimization of photovoltaic power generation projects in the Beijing-Tianjin-Hebei region and other regions.

Research on Economic Returns of Distributed Photovoltaic Power Generation Projects in Hunan

Photovoltaic power generation has been practiced in the application field in recent years. Distributed photovoltaic power generation has now entered the stage of large-scale, and government subsidies at all levels are being reduced. Will distributed photovoltaic power generation projects still have the necessary investment and development advantages in the future? We selects Hunan Province, China as the research area and analyzes the economic returns and development of distributed photovoltaic projects. The method of esmiting economic returns is the IRR, NPV and payback period. According to the analysis conclusion, it is believed that distributed photovoltaic power generation still has advantages, and the investment strategy and suggestions for distributed photovoltaic power generation projects in Hunan.

Challenges of investment and financing for developing photovoltaic power generation in Cameroon, and the countermeasures

In this paper we aim to analyze the status of investment and financing of photovoltaic power generation in Cameroon, find out the challenges it faces, and put forward solutions. Through in-depth analyses of the investment and financing data of photovoltaic power generation from Cameroon, reference countries and the world during 2008–2019 and by drawing lessons from international experiences, we find that Cameroon’s investment and financing is far from meeting the needs of its photovoltaic power generation development. The causal analyses show that the root causes leading to insufficient investment and financing of photovoltaic power generation in Cameroon are the government behavior defects. On this basis, using the appropriate problem-oriented analysis method, we put forward policy recommendations to improve the investment and financing situation of photovoltaic power generation in Cameroon. The basic conclusion of this paper is that the low investment scale, single financing structure, violent investment fluctuation and financing gap are the surface causes of slowing photovoltaic power generation in Cameroon, while the lack of consciousness about attracting international investment, the ambiguity of the application process for photovoltaic power generation projects, the lack of specific measures to stimulate photovoltaic power generation, and the backward national planning of photovoltaic power generation are the internal reasons delaying Cameroon’s photovoltaic power generation. This study not only benefits Cameroon by being a guide for optimizing and promoting the development of photovoltaic power generation, but also has universal reference value for other similar research.